Researchers combined toxin sequence mining with machine learning and deep-learning prediction tools to identify and experimentally test 14 antimicrobial peptide candidates derived from cobra cardiotoxins. Most candidates showed limited antibacterial potency, while CTX-p5 displayed moderate membrane-disrupting activity, revealing both the potential and current limitations of computationally guided venom peptide discovery.